Key Scientific Publications

1. Dechanont S, Maphanta S, Butthum B, Kongkaew C. Hospital admissions/visits associated with drug-drug interactions: a systematic review and meta-analysis. Pharmacoepidemiol Drug Saf 2014 May;23(5):489-497.
2. Institute of Medicine. In: Aspden P, Wolcott J, Bootman JL, Cronenwett LR, editors. Preventing Medication Errors. Washington DC: The National Academies Press; 2007.
3. Böttiger Y, Laine K, Andersson ML, et al. SFINX-a drug-drug interaction database designed for clinical decision support systems. Eur J Clin Pharmacol 2009 Jun;65(6):627-633.
4. Bryant AD, Fletcher GS, Payne TH. Drug interaction alert override rates in the Meaningful Use era: no evidence of progress. Appl Clin Inform 2014;5(3):802-813.
5. Abarca J, Malone DC, Armstrong EP, et al. Concordance of severity ratings provided in four drug interaction compendia. J Am Pharm Assoc 2004;44(2):136-141.
6. van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc 2006;13(2):138-147.
7. McEvoy DS, Sittig DF, Hickman T, et al. Variation in high-priority drug-drug interaction alerts across institutions and electronic health records. J Am Med Inform Assoc 2017;24(2):331-338.
8. Saverno KR, Hines LE, Warholak TL, et al. Ability of pharmacy clinical decision-support software to alert users about clinically important drug-drug interactions. J Am Med Inform Assoc 2011;18(1):32-37.
9. Weingart SN, Simchowitz B, Shiman L, et al. Clinicians' assessments of electronic medication safety alerts in ambulatory care. Arch Intern Med 2009;169(17):1627-1632.
10. Fung KW, Kapusnik-Uner J, Cunningham J, et al. Comparison of three commercial knowledge bases for detection of drug-drug interactions. J Am Med Inform Assoc 2017;24(4):806-812.

Biomedical NLP & AI-Based Research

1. Percha B, Garten Y, Altman RB. Discovery and explanation of drug-drug interactions via text mining. Pac Symp Biocomput 2012:410-421.
2. Lim S, Lee K, Kang J. Drug-drug interaction extraction from literature using recursive neural networks. PLoS One 2018;13(1):e0190926.
3. Liu S, Tang B, Chen Q, Wang X. Drug-Drug Interaction Extraction via Convolutional Neural Networks. Comput Math Methods Med 2016;2016:6918381.
4. Zheng W, Lin H, Luo L, et al. An attention-based neural model for drug-drug interaction extraction. BMC Bioinformatics 2017;18(1):445.

Foundational Drug Interaction Literature

1. Hansten PD. Drug Interactions. Philadelphia: Lea & Febiger; 1971.
2. Hartshorn EA. Handbook of Drug Interactions. Hamilton, IL: Drug Intelligence Publications; 1973.
3. Tatro DS, ed. Drug Interaction Facts. St. Louis: JB Lippincott; 1990.
4. Evaluations of Drug Interactions. Washington, DC: American Pharmaceutical Association; 1971.

Clinical & Epidemiological Studies

1. Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis. JAMA 1998;279:1200-1205.
2. Wester K, Jonsson AK, Spigset O, et al. Incidence of fatal adverse drug reactions: population study. Br J Clin Pharmacol 2008;65:573-579.
3. Hudson M, Baron M, Rahme E, Pilote L. Ibuprofen may abrogate the benefits of aspirin. J Rheumatol 2005;32:1589-1593.
4. Greenblatt DJ, von Moltke LL, Harmatz JS, et al. Time course of recovery of CYP3A after grapefruit juice. Clin Pharmacol Ther 2003;74:121-129.

Online Sources

1. Association for Computational Linguistics – Workshop Proceedings: http://www.aclweb.org/anthology/W12-2426
2. CEUR Workshop Proceedings: http://ceur-ws.org/Vol-2127/